All publications sorted by recency
| 1-50 | 51-100 | 101-150 | 151-200 | 201-250 | 251-300 | 301-350 | 351-400 | 401-450 | 451-500 | 501-550 | 551-600 | 601-650 | 651-700 | 701-750 | 751-800 | 801-850 | 851-900 | 901-950 | 951-1000 | 1001-1050 | 1051-1100 | 1101-1150 | 1151-1200 | 1201-1250 | 1251-1300 | 1301-1350 | 1351-1400 | 1401-1450 | 1451-1500 | 1501-1550 | 1551-1600 | 1601-1650 | 1651-1700 | 1701-1750 | 1751-1800 | 1801-1850 | 1851-1900 | 1901-1950 | 1951-2000 | 2001-2050 | 2051-2100 | 2101-2150 | 2151-2200 | 2201-2250 | 2251-2300 | 2301-2350 | 2351-2400 | 2401-2450 | 2451-2500 | 2501-2550 | 2551-2600 | 2601-2650 | 2651-2700 | 2701-2750 | 2751-2800 | 2801-2850 | 2851-2873 |
Social Network Chatbots for Smoking Cessation: Agent and Multi-Agent Frameworks, 2019 | , , , and ,
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Semi-automatic Semantic Enrichment of Personal Data Streams, in: Proceedings of the Posters and Demo Track of the 15th International Conference on Semantic Systems (SEMANTiCS 2019), CEUR-WS.org, 2019 | , , , and ,
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Towards Semantic Models for Profiling and Behavior Change in eHealth Applications, in: Proceedings of the Posters and Demo Track of the 15th International Conference on Semantic Systems (SEMANTiCS 2019), CEUR-WS, 2019 | , and ,
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Solid Spherical Energy (SSE) CNNs for Efficient 3D Medical Image Analysis, in: Irish Machine Vision and Image Processing Conference, pages 37-44, 2019 | , , , and ,
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Intelligent Healthcare Data Management using Blockchain: Current Limitation and Future Research Agenda, in: Proceedings of the Fifth International Workshop on Data Management and Analytics for Medicine and Healthcare, worshop of the 45th International Conference on Very Large Data Bases (VLDB 2019), Springer, 2019 | , , , , , and ,
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A Startup Assessment Approach based on Multi-Agent and Blockchain Technologies, in: Highlights of Practical Applications of Survivable Agents and Multi-Agent Systems. The PAAMS, 2019 | , , , and ,
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The potential of public autonomous vehicles in alpine tourism destinations, STCB Smart Tourism Congress Barcelona 2018, 2018 | , , , and ,
Who is buying EVs in Switzerland and who could be next? Insights and policy lessons from SHEDS panel data, 2019 | , , and ,
Digital Native Students’ learning expectations in Higher Education, University of Applied Sciences (HES-SO), Switzerland, HES-SO Valais-Wallis, Sierre, Switzerland, 2019 | and ,
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DeepFloat: Resource-Efficient DynamicManagement of Vehicular Floating Content (2019), in: ITC 31- Networked Systems and Services | , , , , and ,
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Integrating radiomics into holomics for personalised oncology: from algorithms to bedside (2020), in: European Radiology Experimental, 4(11) | , , , and ,
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Aide du pilotage décentralisé par prédiction, Editions G d'encre, 2018 | , , and ,
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Designing a Classification for User-Authored Annotations in Data Visualization, pages 85-96, 2018 | , , and ,
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Engaging Pedestrians in Designing Interactions with Autonomous Vehicles, in: Extended {{Abstracts}} of the 2019 {{CHI Conference}} on {{Human Factors}} in {{Computing Systems}}, pages LBW0126:1--LBW0126:6, {ACM}, 2019 | , , , and ,
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Catch the MOOD @Gymnasium Lerbermatt Köniz (Bern), 2019 | and ,
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On Developing A More Comprehensive Decision-Making Architecture for Empirical Social Research: Lesson from Agent-Based Simulation of Mobility Demands in Switzerland, in: Multi-Agent-Based Simulation XX, pages 39--54, Springer International Publishing, 2020 | and ,
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Elements de réflexion pour une vision industrielle valaisanne à l'horizon 2030, in: Forum Industrial Future 2019, Avenir Industrie Valais Wallis, Sion, 2019 | ,
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Le Valais industriel, statistiques et valeur ajoutée, in: Forum Industrial Futur 2019, Avenir Industrie Valais Wallis, Sion, 2019 | ,
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Detection of Satiric News on Social Media: Analysis of the Phenomenon with a French Dataset, in: The 28th International Conference on Computer Communications and Networks (ICCCN 2019), Valencia, Spain, IEEE, 2019 | , , and ,
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Energy management in a public building: A case study co-designing the building energy management system, 2017 | , , , , and ,
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Chauffage à distance (2017), in: Bulletin | , , and ,
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Explainable Multi-Agent Systems through Blockchain Technology, 2019 | , , , and ,
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Towards Profile and Domain Modelling in Agent-based Applications for Behavior Change, in: Proc of the 17th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS), pages 16-28, Springer Verlag, 2019 | , , and ,
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Prévision des prix spot de l’électricité sur le marché allemand (2015), in: Bulletin AES VSE(5) | , , and ,
Brain and Cognitive Mechanisms of Top–Down Attentional Control in a Multisensory World: Benefits of Electrical Neuroimaging (2019), in: Journal of Cognitive Neuroscience, 31(412-430) | , , , and ,
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Mental Rotation of Digitally- Rendered Haptic Objects (2019), in: Frontiers in Integrative Neuroscience, 13(7) | , , , , , , , and ,
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Towards Automated Contract Handling, 2018 | , and ,
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Strategies for Runtime Prediction and Mathematical Solvers Tuning, in: Proceedings of the 11th International Conference on Agents and Artificial Intelligence (ICAART 2019), 2019 | and ,
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Radial B-Splines for Optimal Detection in Images, in: ISBI Special Session on Spline Models in Biomedical Imaging, 2019 | , , , , and ,
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Building a Crowdsourcing based Disabled Pedestrian Level of Service routing applicationusing Computer Vision and Machine Learning, in: the 16th Conference of IEEE Consumer Communications & Networking Conference (CCNC), Las Vegas, USA, pages 1-5, IEEE, 2019 | , , , , , , and ,
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Development of a Deep Convolutional Neural Network to Predict the Grading of Canine Meningiomas from MR images (2018), in: The veterinary journal, 235(90-92) | , , , , and ,
How to find the best radiomics features for prediction of overall survival in SBRT for hepatocellular carcinoma?, in: European SocieTy for Radiotherapy & Oncology, 2019 | , , , , , , and ,
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Quantitative analysis of medical images: finding relevant regions-of-interest for medical decision support, University of Geneva, 2017 | ,
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Stream Reasoning Agents, in: Proceeding of International Conference on Autonomous Agent and Multi-Agent Systems (AAMAS 2019), 2019 | , and ,
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Explainable agents and robots: Results from a systematic literature review, in: Proceedings of AAMAS 2019, 2019 | , , and ,
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Exploring local rotation invariance in 3D CNNs with steerable filters, in: Medical Imaging with Deep Learning, pages 15-26, Proceedings of Machine Learning Research, 2019
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A Graph Model of the Lungs with Morphology-based Structure for Tuberculosis Type Classification, in: The 26th International Conference on Information Processing in Medical Imaging (IPMI), 2019 | , , and ,
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Real-Time Multi-Agent Systems for Telerehabilitation Scenarios (2019), in: Artificial Intelligence in Medicine | , , , and ,
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Lung Tissue Analysis: From Local Visual Descriptors To Global Modeling, University of Geneva, 2018 | ,
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A lung graph model for the classification of interstitial lung disease on CT images, in: SPIE Medical Imaging 2019: Computer-Aided Diagnosis, International Society for Optics and Photonics, pages 869-876, SPIE, 2019 | , , and ,
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Improved interpretability for computer-aided severity assessment of retinopathy of prematurity, in: SPIE Medical Imaging, San Diego, CA, USA, 2019 | , , , , , , , , and ,
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Heterogeneous exascale computing, in: INES 2018 conference, Springer, 2019 | , , , , , , , , , , , , , , , , , , , , , , and ,
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EaaS – Evaluation-as-a-Service in scientific challenges, Springer, 2019 | and ,
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Experiences from the ImageCLEF Medical Retrieval and Annotation Tasks, Springer, 2019 | , and ,
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A Quantitative Taxonomy of Human Hand Grasps, (2019), in: Journal of NeuroEngineering and Rehabilitation,, 16:28
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ImageCLEF 2019: Multimedia Retrieval in Medical Nature, Security and Lifelogging Applications, in: ECIR 2019, Cologne, Germany, 2019 | , , , , , , , , , , , , , , , , , , , , , , , , and ,
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Biodiversity information retrieval through content-based identification: a long-term evaluation, Springer, 2019 | , , , , , , , and ,
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LifeCLEF 2019: Biodiversity Identification and Prediction Challenges, in: ECIR 2019, Cologne, Germany, 2019 | , , , , , , , and ,
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Late Fusion of Deep Learning and Handcrafted Visual Features for Biomedical Image Modality Classification, in: IET Image Processing, 2018
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| 1-50 | 51-100 | 101-150 | 151-200 | 201-250 | 251-300 | 301-350 | 351-400 | 401-450 | 451-500 | 501-550 | 551-600 | 601-650 | 651-700 | 701-750 | 751-800 | 801-850 | 851-900 | 901-950 | 951-1000 | 1001-1050 | 1051-1100 | 1101-1150 | 1151-1200 | 1201-1250 | 1251-1300 | 1301-1350 | 1351-1400 | 1401-1450 | 1451-1500 | 1501-1550 | 1551-1600 | 1601-1650 | 1651-1700 | 1701-1750 | 1751-1800 | 1801-1850 | 1851-1900 | 1901-1950 | 1951-2000 | 2001-2050 | 2051-2100 | 2101-2150 | 2151-2200 | 2201-2250 | 2251-2300 | 2301-2350 | 2351-2400 | 2401-2450 | 2451-2500 | 2501-2550 | 2551-2600 | 2601-2650 | 2651-2700 | 2701-2750 | 2751-2800 | 2801-2850 | 2851-2873 |